Agric. Econ. - Czech, 2024, 70(11):556-564 | DOI: 10.17221/253/2024-AGRICECON
Did the COVID-19 pandemic disturb intra-EU trade in agrifood products? Evidence from a counterfactual forecasting approachOriginal Paper
- 1 Department of International Economics and Agribusiness, Institute of Economics and Finance, Warsaw University of Life Sciences, Warsaw, Poland
- 2 Department of Economics and Economic Policy in Agribusiness, Faculty of Economics, Poznan University of Life Sciences, Poznan, Poland
- 3 Department of Agricultural and Resource Economics, University of California at Davis, Davis, United States of America
- 4 Economics and Sociology Department, Institute of Econometrics, University of Lodz, Lodz, Poland
In this study, we attempt to infer the effect of the COVID-19 pandemic on the intra–European Union (EU) agrifood trade from out-of-sample forecasts. We compare the actual level of trade during the COVID-19 period with counterfactual values derived from univariate forecasting models [regARIMA (Linear regression with autoregressive integrated moving average errors) and Holt-Winters methods]. We analyse agrifood imports and exports of specific EU countries and the EU-27 aggregate on the basis of monthly data for the period from January 2010 to February 2022. The findings reveal a significant decrease in trade activity in the first year of the pandemic that was negatively correlated to COVID-19 restrictions applied by EU countries. Surprisingly, COVID-19 restrictions do not significantly explain the diversified agrifood trade response among EU countries during the pandemic.
Keywords: agricultural products; COVID restrictions; EU countries; food products; foreign trade
Received: July 16, 2024; Revised: October 2, 2024; Accepted: October 29, 2024; Published: November 29, 2024 Show citation
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References
- Adjognon G.S., Bloem J.R., Sanoh A. (2021): The coronavirus pandemic and food security: Evidence from Mali. Food Policy, 101: 102050.
Go to original source...
Go to PubMed... - Ahmed F., Islam A., Pakrashi D., Rahman T., Siddique A. (2021): Determinants and dynamics of food insecurity during COVID-19 in rural Bangladesh. Food Policy, 101: 102066.
Go to original source...
Go to PubMed... - Amare M., Abay K.A., Tiberti L., Chemberlin J. (2021): COVID-19 and food security: Panel data evidence from Nigeria. Food Policy, 101: 102099.
Go to original source...
Go to PubMed... - Arita S, Grant J, Sydow S, Beckman J. (2022): Has global agricultural trade been resilient under the coronavirus (COVID-19)? Findings from an econometric assessment of 2020. Food Policy, 107: 102204.
Go to original source...
Go to PubMed... - Barbero J., de Lucio J.J., Rodriguez-Crespo E. (2021): Effects of COVID-19 on trade flows: Measuring their impact through government policy responses. PLoS ONE, 16: e0258356.
Go to original source...
Go to PubMed... - Beckman J., Countryman A.M. (2021): The importance of agriculture in the economy: Impacts from COVID-19. American Journal of Agricultural Economics, 103: 1595-1611.
Go to original source...
Go to PubMed... - Box G.E.P., Jenkins G.M. (1970): Time Series Analysis: Forecasting and Control. San Francisco, Holden-Day: 553.
- Büchel K., Legge S., Pochon V., Wegmüller P. (2020): Swiss trade during the COVID-19 pandemic: An early appraisal. Swiss Journal of Economics and Statistics, 156: 22.
Go to original source...
Go to PubMed... - Caporale G.M., Sova A.D., Sova R. (2022): The COVID-19 Pandemic and European Trade Flows: Evidence from a Dynamic Panel Model. International Journal of Finance and Economics, 29: 2563-2580.
Go to original source... - Constantin M., Piștalu M., Pătărlăgeanu S.R., Chirescu A.D. (2022): The resilience of agricultural comparative advantage during the COVID-19 pandemic. In: Pamfilie R., Dinu V., Vasiliu C., Pleșea D., Tăchiciu L. (eds): 8th BASIQ International Conference on New Trends in Sustainable Business and Consumption. Graz, Austria, May 25-27, 2022: 147-154.
- Davidescu A.A., Popovici O.C., Strat V.A. (2022): An empirical analysis using panel data gravity models and scenario forecast simulations for the Romanian exports in the context of COVID-19. Economic Research - Ekonomska Istraľivanja, 35: 480-510.
Go to original source... - De Lucio J., Minguez R., Minondo A., Requena F. (2022): Impact of Covid-19 containment measures on trade. International Review of Economics and Finance, 80: 766-778.
Go to original source... - Engemann H., Jafari Y. (2022): COVID-19 and changes in global agri-food trade. Q Open, 2: qoac013.
Go to original source... - Espitia A., Rocha N., Ruta M. (2020): COVID-19 and Food Protectionism. The Impact of the Pandemic and Export Restrictions on World Food Markets. Policy Research Working Paper 9253. Washington, D.C., World Bank: 30.
Go to original source... - Eurostat-Comext (2024): International trade. [Dataset]. Eurostat, Brussels. Available at https://ec.europa.eu/eurostat/comext/newxtweb/ (access May 10, 2024).
- Hale T., Angrist N., Goldszmidt R., Kira B., Petherick A., Phillips T., Webster S., Cameron-Blake E., Hallas L., Majumdar S., Tatlow H. (2021): A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nature Human Behaviour, 5: 529-538.
Go to original source...
Go to PubMed... - Hyndman R., Koehler A.B., Ord J.K., Snyder R.D. (2008): Forecasting with Exponential Smoothing: The State Space Approach. Heidelberg, Springer: 362.
Go to original source... - IMF (2024): Real GDP growth. [Dataset]. International Monetary Fund, Washington. Available at https://www.imf.org/external/datamapper/NGDP_RPCH@WEO/OEMDC/ADVEC/WEOWORLD (accessed May 10, 2024)
- Khorana S., Martinez-Zarzoso I., Ali S. (2023): An anatomy of the impact of COVID-19 on the global and intra-Commonwealth trade in goods. Review of International Economics, 31: 550-579.
Go to original source...
Go to PubMed... - Koppenberg M., Bozzola M., Dalhaus T., Hirsch S. (2021): Mapping potential implications of temporary COVID-19 export bans for the food supply in importing countries using precrisis trade flows. Agribusiness, 37: 25-43.
Go to original source... - Leamer E.E. (1983): Let's take the con out of econometrics. The American Economic Review, 73: 31-43.
- OxCGRT (2024): Oxford University's Oxford COVID-19 Government Response Tracker.[Dataset] Blavatnik School of Government, University of Oxford. Available at https://github.com/OxCGRT/covid-policy-tracker (accessed Apr 18, 2024
- Pawlak K., Malak-Rawlikowska A., Hamulczuk M., Skrzypczyk M. (2024): Has food security in the EU countries worsened during the COVID-19 pandemic? Analysis of physical and economic access to food. PLoS ONE, 19: e0302072.
Go to original source...
Go to PubMed... - Rudin-Rush L., Michler J.D., Josephson A., Bloem J.R. (2022): Food insecurity during the first year of the COVID-19 pandemic in four African countries. Food Policy, 111: 102306.
Go to original source...
Go to PubMed... - Schmidhuber J., Qiao B. (2020): Comparing Crises: Great Lockdown versus Great Recession. Rome, FAO: 41.
- Tabe-Ojong Jr. M.P., Nshakira-Rukundo E., Gebrekidan B.H. (2023): COVID-19 and food insecurity in Africa: A review of the emerging empirical evidence. European Review of Agricultural Economics, 50: 853-878.
Go to original source... - X-13 ARIMA-SEATS Reference Manual (2023): Washington, D.C., Time Series Research Staff, Center for Statistical Research and Methodology, U.S. Census Bureau. Available at https://www2.census.gov/software/x-13arima-seats/x13as/unix-linux/documentation/docx13as.pdf (accessed May 10, 2024)
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